What problem does it solve? Long-running research quests often stall or drift when the next step is ambiguous. This Skill forces every consequential transition—continue, branch, reuse a baseline, launch an experiment, write, finalize, reset, or stop—to be made from durable evidence and recorded with a verdict, action, reason, and next direction. ## Core Features & Use Cases - Structured decision records: Captures verdict, canonical action, reason, evidence paths, and next stage for every consequential choice. - Candidate selection discipline: Requires explicit criteria, a named winner, and justification for rejected alternatives when choosing among idea branches, experiment packages, or paper outlines. - User-gated and autonomous modes: Supports blocking decision requests when user preference matters, and self-resolving autonomous routing when the quest contract allows it. - Use Case: After an experiment run finishes with mixed results, use this Skill to weigh the evidence, decide whether to iterate, branch, or move to writing, and durably record the decision with its rationale. ## Quick Start Ask the AI to evaluate the current quest evidence and record a decision on whether to continue, branch, or stop with reasons and next steps.
